The use of advanced technology and statistical methods to predict and prevent suicide

Nature Reviews Psychology, Journal Year: 2023, Volume and Issue: 2(6), P. 347 - 359

Published: April 6, 2023

Language: Английский

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Interpersonal risk factors for suicide in daily life among young people: A review of intensive longitudinal studies

Development and Psychopathology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: Jan. 2, 2025

Abstract Suicide is one of the leading causes death among individuals aged 10–24. Research using intensive longitudinal methods to identify near-term predictors suicidal thoughts and behaviors (STBs) has grown dramatically. Interpersonal factors may be particularly critical for suicide risk young people, given heightened salience interpersonal experiences during adolescence adulthood. We conducted a narrative review on studies investigating how contribute STBs adolescents adults. Thirty-two met inclusion criteria focused theoretical cross-theoretical factors. Negative states (e.g., perceived burdensomeness), hopelessness, social support were consistently associated with proximal within-person changes in concurrent, but not prospective, thoughts. Further, work examining these processes extend behavior diverse samples remains scarce. Implications contemporary theories people are discussed.

Language: Английский

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Ecological Momentary Assessments and Passive Sensing in the Prediction of Short-Term Suicidal Ideation in Young Adults

JAMA Network Open, Journal Year: 2023, Volume and Issue: 6(8), P. e2328005 - e2328005

Published: Aug. 8, 2023

Importance Advancements in technology, including mobile-based ecological momentary assessments (EMAs) and passive sensing, have immense potential to identify short-term suicide risk. However, the extent which EMA data, particularly combination, utility detecting risk everyday life remains poorly understood. Objective To examine whether what combinations of self-reported sensor-based next-day suicidal ideation. Design, Setting, Participants In this intensive longitudinal prognostic study, participants completed EMAs 4 times daily wore a sensor wristband (Fitbit Charge 3) for 8 weeks. Multilevel machine learning methods, penalized generalized estimating equations classification regression trees (CARTs) with repeated 5-fold cross-validation, were used optimize prediction ideation based on time-varying features from (affective, cognitive, behavioral factors) data (sleep, activity, heart rate). Young adult patients who visited an emergency department recent and/or attempt recruited. Identified via electronic health record screening, eligible individuals contacted remotely complete enrollment procedures. (aged 18 25 years) 14 708 observations (64.4% adherence) approximately half time (55.6% adherence). Data collected between June 2020 July 2021. Statistical analysis was performed January March 2023. Main Outcomes Measures The outcome presence Results Among 102 enrolled participants, 83 (81.4%) female; 6 (5.9%) Asian, 5 (4.9%) Black or African American, 9 (8.8%) more than 1 race, 76 (74.5%) White; mean (SD) age 20.9 (2.1) years. best-performing model incorporated showed good predictive accuracy (mean [SE] cross-validated area under receiver operating characteristic curve [AUC], 0.84 [0.02]), whereas that alone poor AUC, 0.56 [0.02]). Sensor-based did not improve when combined EMAs. Suicidal ideation-related strongest predictors When excluded, alternative had acceptable 0.76 Both models included at different timescales reflecting within-day, end-of-day, cumulative effects. Conclusions Relevance factors identifying near-term thoughts. Best-performing required information, derived EMAs, negligible accuracy. These results may implications developing decision algorithms thoughts guide monitoring intervention delivery life.

Language: Английский

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Digital cognitive–behavioural therapy to reduce suicidal ideation and behaviours: a systematic review and meta-analysis of individual participant data

Evidence-Based Mental Health, Journal Year: 2022, Volume and Issue: 25(e1), P. e8 - e17

Published: Dec. 1, 2022

Digital interventions based on cognitive-behavioural therapy (iCBT) is associated with reductions in suicidal ideation. However, fine-grained analyses of effects and potential effect-moderating variables are missing. This study aimed to investigate the effectiveness iCBT ideation, effect moderators, suicide attempts predictors adherence.We systematically searched CENTRAL, PsycINFO, Embase PubMed for randomised controlled trials that investigated ideation or behaviours. Participants reporting baseline were eligible. We conducted a one-stage individual participant data (IPD) meta-analysis. Suicidal was primary outcome, analysed as three indices: severity reliable changes treatment response.We included IPD from nine out ten eligible (2037 participants). showed significant compared control conditions across all indices (severity: b=-0.247, 95% CI -0.322 -0.173; changes: b=0.633, 0.408 0.859; response: b=0.606, 0.410 0.801). In iCBT, rate improvement 40.5% (controls: 27.3%); deterioration 2.8% 5.1%). No participant-level moderator identified. The response higher waitlist-controls active controls. There insufficient attempts. Human support female gender predicted adherence. main source bias missing outcome data.The current evidence indicates effective reducing irrespective age, previous Future studies should rigorously assess behaviour drop-out reasons.

Language: Английский

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Intensive Longitudinal Assessment of Adolescents to Predict Suicidal Thoughts and Behaviors

Journal of the American Academy of Child & Adolescent Psychiatry, Journal Year: 2023, Volume and Issue: 62(9), P. 1010 - 1020

Published: May 12, 2023

Language: Английский

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Suicide capability within the ideation-to-action framework: A systematic scoping review

PLoS ONE, Journal Year: 2022, Volume and Issue: 17(10), P. e0276070 - e0276070

Published: Oct. 27, 2022

Suicide capability is theorised to facilitate the movement from suicidal ideation suicide attempt. Three types of contributors are posited comprise capability: acquired, dispositional, and practical. Despite being critical in ideation-to-attempt, there has been no systematic synthesis empirical evidence relating that would enable further development refinement concept. This study sought address this gap. A scoping review was conducted on studies published January 2005 2022. Eleven electronic databases grey literature sources were searched returning 5,212 potential studies. After exclusion criteria application, 90 included for final analysis. Results followed a textual narrative approach allocating based capability. Most focused investigating only one factor within contributors. Painful provocative events appear contribute acquired more so than fearlessness about death. Whilst emerging dispositional practical promising, small number prevents conclusions drawn. An unexpected additional cognitive contributor identified. The focus single most limited other limits theoretical application knowledge. Given complex multifaceted behaviour, future research incorporates combination likely advance our understandings

Language: Английский

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Temporal profiles of suicidal thoughts in daily life: Results from two mobile-based monitoring studies with high-risk adolescents

Journal of Psychiatric Research, Journal Year: 2022, Volume and Issue: 153, P. 56 - 63

Published: June 30, 2022

Language: Английский

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Effects of frequent assessments on the severity of suicidal thoughts: an ecological momentary assessment study

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: May 17, 2024

Objective In recent years, there has been a significant increase in research using ecological momentary assessment (EMA) to explore suicidal thoughts and behaviors (STBs). Meanwhile, concerns have raised regarding the potential impacts of frequent intense STBs assessments on study participants. Methods From November 2021 June 2023, total 83 adolescent young adult outpatients (M age = 21.0, SD 6.3, 71.1% female), who were diagnosed with mood disorders, recruited from three psychiatric clinics China. Smartphone-based EMA was used measure times per day at randomly selected times. We examined change each measurement within 1 evaluate adverse effects Bayesian multilevel models. Results The 3,105 effective surveys nested participants (median follow-up days: 14 days). results two-level models indicated that decreased during monitoring period. However, this effect varied among different individuals model. Conclusion Our findings did not support notion repeated is iatrogenic, but future should continue investigate impact thoughts, taking into account individual differences utilizing larger sample sizes.

Language: Английский

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A systematic review of interpersonal processes and their measurement within experience sampling studies of self-injurious thoughts and behaviours

Clinical Psychology Review, Journal Year: 2024, Volume and Issue: 113, P. 102467 - 102467

Published: July 11, 2024

Language: Английский

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Using Smartphone GPS Data to Detect the Risk of Adolescent Suicidal Thoughts and Behaviors

JAMA Network Open, Journal Year: 2025, Volume and Issue: 8(1), P. e2456429 - e2456429

Published: Jan. 27, 2025

Importance Suicide rates among adolescents continue to rise, but there are a lack of clinical tools predict when youths may be at risk for suicidal behaviors. Objective To identify whether geolocation metrics, assessed through an app installed on adolescents’ personal smartphones, could detect the next-week events and clinically meaningful ideation. Design, Setting, Participants This case series study included high-risk aged 13 18 years reporting current affective and/or substance use disorder, oversampled thoughts behaviors (STB). were recruited from greater New York City Pittsburgh communities psychiatric outpatient programs, emergency departments, medical center research registries, social media. Effortless Assessment Research System (EARS) software application onto their which obtained passive sensor data, including metrics (via global positioning system [GPS]), as well weekly experience sampling data probing STB duration 6-month study. Adolescents also completed assessments baseline during 1-, 3-, follow-up assessments. Statistical analysis was performed March 2023 November 2024. Main Outcomes Measures Repeated measures mixed-effects logistic models estimated aggregates features (ie, entropy, homestay, distance traveled) associated with suicide attempts, hospitalizations, department visits concerns) ideation sampling). Results Overall, 186 participants in this (148 [79.6%] female; 19 [10.2%] Asian, 23 [12.4%] Black, 106 [57.0%] White), mean (SD) age 16.4 (1.7) years. Greater homestay (amount time spent home) given week, relative one’s own mean, 2-fold odds subsequent week (odds ratio, 1.99 [95% CI, 1.15-3.45]). not significant entropy traveled metrics. However, using leave-future-out validation, accuracy model modest (area under receiver operating characteristic curve, 0.64 0.50-0.78]). Conclusions Relevance Advancements smartphone technology afford unique opportunities capture behavioral dynamics that presage risk. found GPS over course event week. Although modest, these findings offer novel starting point prevention research, particularly have capacity who is while providing opportunity deliver greatest.

Language: Английский

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